Identically adopts ISO 19160 3:2020 which establishes a set of data quality elements and measures for describing the quality of address data; procedures for reporting data quality; and provides guidelines for describing the quality of address data. This document does not attempt to define minimum acceptable levels of quality for address data. KEYWORDS: Addressing; Data quality; Procedures for reporting data quality
Table of contents
Header
About this publication
Preface
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Conformance
5 Symbols, notation, and abbreviated terms
5.1 Unified modelling language
5.2 Package abbreviated terms
6 Describing the quality of address data
7 Data quality elements for address data
8 Measuring the quality of address data
8.1 General
8.2 Completeness
8.2.1 General
8.2.2 Commission
8.2.3 Omission
8.3 Logical consistency
8.3.1 General
8.3.2 Conceptual consistency
8.3.3 Domain consistency
8.3.4 Format consistency
8.3.5 Topological consistency
8.4 Positional accuracy
8.4.1 General
8.4.2 Absolute or external positional accuracy
8.4.3 Relative or internal positional accuracy
8.4.4 Gridded data positional accuracy
8.5 Temporal quality
8.5.1 General
8.5.2 Accuracy of time measurement
8.5.3 Temporal consistency
8.5.4 Temporal validity
8.6 Thematic accuracy
8.6.1 General
8.6.2 Classification correctness
8.6.3 Non-quantitative attribute correctness
8.6.4 Quantitative attribute accuracy
8.7 Usability
9 Evaluation of the quality of address data
9.1 General
9.2 Evaluation process
9.2.1 Metaquality
9.3 Address data quality evaluation methods
10 Reporting the quality of address data
Annex A
A.1 Test case identifier: Address data quality units and elements
A.2 Test case identifier: Application of address data quality measures
A.3 Test case identifier: Description of address data quality measures
A.4 Test case identifier: Address data quality evaluation process
A.5 Test case identifier: Reporting address data quality as metadata
A.6 Test case identifier: Standalone address data quality report
Annex B
B.1 General
B.2 Methods for measuring the completeness of address data
B.2.1 Boundary-based methods
B.2.2 Classification-based methods
B.2.3 Comparison-based methods
B.3 Methods for measuring duplicate items in address data
B.3.1 Methods for measuring duplicate addresses
B.3.2 Methods for measuring duplicate addressable objects
B.3.3 Reporting duplicate items in address data
Annex C
C.1 General
C.2 Example data product specification for the address dataset
C.2.1 General
C.2.2 Feature types
C.2.3 Rules
C.2.4 Quality requirements
C.3 Process to evaluate the quality of address data
C.3.1 Specify data quality units
C.3.2 Specify data quality measures
C.3.3 Specify data quality evaluation methods
C.3.4 Determine the output of the data quality evaluation result
C.4 Report of the quality of the address data
C.5 Example data product specification for the address dataset
C.5.1 General
C.5.2 Feature types
C.5.3 Rules
C.5.4 Quality requirements
C.6 Process to evaluate the quality of address data
C.6.1 Specify data quality units
C.6.2 Specify data quality measures
C.6.3 Specify data quality evaluation methods
C.6.4 Determine the output of the data quality evaluation result
C.7 Report of the quality of the address data
C.8 Example using quality elements to assess the quality of a user address dataset
C.8.1 General
C.8.2 Description of the location service (use case)
C.8.3 The address semantic quality
C.8.3.1 Semantic distance
C.8.3.2 Address matching type
C.8.4 The address geographic quality (geographical distance)
C.8.5 The matching confidence score
C.8.6 Overall quality of the address dataset
C.8.7 Reporting the overall quality of the address dataset
